Deep Learning-Based Glaucoma Detection With Cropped Optic Cup and Disc and Blood Vessel Segmentation

Glaucoma is an irreversible neurodegenerative disease, where intraocular hypertension is developed due to the increased aqueous humor and blockage of the drainage system between the iris and cornea. As a result, the optic nerve head, which sends visual stimulus from our eyes to the brain, is damaged...

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Veröffentlicht in:	IEEE access 2022, Vol.10, p.2828-2841
Hauptverfasser:	Islam, Mir Tanvir, Mashfu, Shafin T., Faisal, Abrar, Siam, Sadman Chowdhury, Naheen, Intisar Tahmid, Khan, Riasat
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive optics Aqueous humour Blindness Blood vessels Brain damage Cornea Datasets Deep learning Drainage systems EfficientNet Error detection Eye (anatomy) Feature extraction fundus image Glaucoma Human error Hypertension image classification Image resolution Image segmentation Machine learning Medical imaging MobileNet Neurological diseases Optical imaging Optical sensors Retina U-net Visual fields Visual stimuli
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